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  • Automated Eye Tracking For Detection of Blast Brain Injury After a Natural Gas Explosion

    Final Number:
    4035

    Authors:
    Abdullah Bin Zahid MD; Maxwell Thorpe; Christina Smith; Caleb Hoover; Radhika Edgupanti; Shivani Venkatesh; Dylan Sturtevant; Aliya Ahmadi; Olivia Newgaard; Uzma Samadani MD

    Study Design:
    Other

    Subject Category:

    Meeting: Congress of Neurological Surgeons 2017 Annual Meeting - Late Breaking Science

    Introduction: The purpose of this work is to describe the capacity for automated eye tracking performed while watching a short film clip to detect blast brain injury due to a natural gas explosion.

    Methods: Design: Prospective observational study. Setting: University-affiliated level one trauma center. Participants: Approximately 70 civilian children and adults were accidently exposed to a natural gas explosion at a school. 36 subjects, including 4 of the hospitalized agreed to participate in this research. These blast subjects were compared to an age and gender matched cohort selected from among 561 controls recruited at a state fair. Exposure: The study test group was exposed to a natural gas blast explosion. Primary outcome measure: automated eye tracking metrics.

    Results: Thirty-six blast exposed subjects [age (mean±sd)=35.6±17.5, 23 females] were compared using Wilcoxon signed-rank test to thirty-six age and gender matched controls. Five eye tracking metrics were significantly different between all blast survivors and age and gender matched controls selected from among the community controls. In order to create a Blast Impact Score (BIS), the subjects inside the building [N=22; 17 females] were compared to controls with no prior history of TBI [N=306; 120 females]. BIS provided an AUC of 0.835, sensitivity of 86.4% and specificity of 77.4% to discriminate between blast patients and controls. BIS also correlated with distance from the epicenter of the blast (spearman correlation=0.73; p<0.001).

    Conclusions: Our data supports the use of automated eye tracking for assessment of blast brain injury. This finding is particularly relevant to military personnel who may be exposed to blast, which was previously dubbed “an invisible injury.” The ability to detect blast brain injury using an automated non-invasive technique will enable early identification of afflicted subjects and protection from repeated exposure as well as development of therapeutics.

    Patient Care: Blast brain injury has been dubbed “the invisible injury” because it often does not cause immediately detectable radiographic injury, and serum or cerebrospinal fluid biomarker changes are transient. Development of a diagnostic for blast brain injury would enable identification of injured subjects for prevention of repeat injury as well as development of therapeutics.

    Learning Objectives: Can an automated eye tracking algorithm performed while viewing a short film clip detect blast brain injury?

    References: Blennow K, Jonsson M, Andreasen N, et al. No neurochemical evidence of brain injury after blast overpressure by repeated explosions or firing heavy weapons. Acta Neurol Scand 2011;123(4):245-51. Samadani U, Farooq S, Ritlop R, et al. Detection of third and sixth cranial nerve palsies with a novel method for eye tracking while watching a short film clip. J Neurosurg 2015;122(3):707-20. Kolecki R, Dammavalam V, Bin Zahid A, et al. Elevated intracranial pressure and reversible eye-tracking changes detected while viewing a film clip. J Neurosurg 2017:1-8.

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